ResNet9, ResNet18 and ResNet34 without any pre-trained weights. We choose the ResNet [1]} family because of its ubiquity in practice and smaller number of parameters. To show that our results are robust, we provide similar experimental results on training with tiles using other CNN architectures in Appendix REF .
